Volume & Issue no: Volume 4, Issue 1, January - February 2015
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Title: |
A Survey for Personalized Items based Recommendation System |
Author Name: |
Ms. Mayuri P. chaudhari , Prof. Ms.Sonal Patil , Prof. Mr. Ganesh Dhanokar |
Abstract: |
Abstract
Recommendation techniques are very important in the fields
of E-commerce and other Web-based services; one of the
main difficulties is dynamically providing high-quality
recommendation on sparse data. Here a novel personalized
recommendation algorithm is proposed, in which information
contained in both ratings and feedback of the user is
considered, a set of dynamic features are designed to describe
user preferences in multiple phases and finally a
recommendation is made by adaptively weighting the features
on the basis of result of rating and feedback by using the
collaborative graph of both. In item based recommendation
algorithm the similarities are determine between the various
items and then uses them to identify the set of items to be
recommended
Keywords- dynamic recommendation, dynamic features,
multiple phases of interest |
Cite this article: |
Ms. Mayuri P. chaudhari , Prof. Ms.Sonal Patil , Prof. Mr. Ganesh Dhanokar , "
A Survey for Personalized Items based Recommendation System" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 1, January - February 2015 , pp.
171-173 , ISSN 2278-6856.
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